Differentiation of normal and cancerous lung tissues by multiphoton imaging

Chun-Chin Wang; Feng-Chieh Li; Ruei-Jr Wu; Vladimir A. Hovhannisyan; Wei-Chou Lin; Sung-Jan Lin M.D.; Peter T. C. So; Chen-Yuan Dong

doi:10.1117/1.3210768

1 July 2009 Differentiation of normal and cancerous lung tissues by multiphoton imaging

Chun-Chin Wang, Feng-Chieh Li, Ruei-Jr Wu, Vladimir A. Hovhannisyan, Wei-Chou Lin, Sung-Jan Lin M.D., Peter T. C. So, Chen-Yuan Dong

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Journal of Biomedical Optics, Vol. 14, Issue 4, 044034 (July 2009). https://doi.org/10.1117/1.3210768

Abstract

We utilize multiphoton microscopy for the label-free diagnosis of noncancerous, lung adenocarcinoma (LAC), and lung squamous cell carcinoma (SCC) tissues from humans. Our results show that the combination of second-harmonic generation (SHG) and multiphoton excited autofluorescence (MAF) signals may be used to acquire morphological and quantitative information in discriminating cancerous from noncancerous lung tissues. Specifically, noncancerous lung tissues are largely fibrotic in structure, while cancerous specimens are composed primarily of tumor masses. Quantitative ratiometric analysis using MAF to SHG index (MAFSI) shows that the average MAFSI for noncancerous and LAC lung tissue pairs are 0.55±0.23 and 0.87±0.15, respectively. In comparison, the MAFSIs for the noncancerous and SCC tissue pairs are 0.50±0.12 and 0.72±0.13, respectively. Our study shows that nonlinear optical microscopy can assist in differentiating and diagnosing pulmonary cancer from noncancerous tissues.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Chun-Chin Wang, Feng-Chieh Li, Ruei-Jr Wu, Vladimir A. Hovhannisyan, Wei-Chou Lin, Sung-Jan Lin M.D., Peter T. C. So, and Chen-Yuan Dong "Differentiation of normal and cancerous lung tissues by multiphoton imaging," Journal of Biomedical Optics 14(4), 044034 (1 July 2009). https://doi.org/10.1117/1.3210768

Published: 1 July 2009

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KEYWORDS

Tissues

Lung

Second-harmonic generation

Lung cancer

Cancer

Optical fibers

Collagen

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